Assessing Secondary School Performances of 25 Countries Using Malmquist Index

Öz

The low performance of Turkey in the Programme for International Student Assessment (PISA 2003) was a great disappointment for that country. To investigate the likely causes for low performances in mathematics, reading and science and to measure the discrepancy of countries performances using PISA dataset in 2003 and 2006, this study measured performance difference using Malmquist Index approach. The sample was prepared from countries which participated in Programme for International Student Assessment (PISA). Efficient and inefficient countries were determined by analyzing the sample data. As a result of the study, we found that 18 of the 25 countries’ performances increased, 3 of 25 countries’ performance decreased and 4 of 25 countries’ performance did not changed. Also we found tha the relavent Turkey’s total performance for the years of 2003 and 2006 has been decreased about 2 percent. The reason for that was the difficulty in being compliant to educational reforms.

Anahtar Kelimeler

• Malmquist index
• PISA
• Data envelopment analysis

Malmquist Endeksi ile 25 Ülkenin Ortaöğretim Performansının Değerlendirilmesi

Öz

Türkiye’nin Uluslararası Öğrenci Değerlendirme Programı (PISA 2003)’deki düşük performansı, ülkemiz için çok büyük bir hayal kırıklığına sebep olmuştur. 2003 ve 2006 yıllarında yapılan PISA verilerinden yararlanılarak, matematik, okuma ve fen bilimlerindeki bu düşük performansın sebebini araştırmak ve ülkelerin performanslarındaki değişimi incelemek amacıyla bu çalışmada, Malmquist Endeks yaklaşımını kullanılmıştır. Örneklem PISA’ya katılan ülkelerden oluşmaktadır. Bu verileri kullanarak eğitimde etkin olan ve olmayan ülkeler belirlenmiştir. Bu analiz sonucunda toplam etkinliğin: Çalışmaya dâhil edilen 25 ülkeden 18’inde arttığı, 3’ünde değişmediği ve 4’ünde azaldığı gösterilmiştir. Türkiye’nin ise toplam etkinliğinde yaklaşık %2’lik bir azalma olduğu, bunun sebebinin de eğitim reformlarına uyum zorluğu olduğu tespit edilmiştir.

Anahtar Kelimeler

• Malmquist Endeksi
• PISA
• Veri zarflama analizi

Kaynakça

1. Akşit, N., 2007. Educational reform in Turkey. International Journal of Educational Development, 27, 129-137.
2. Cooper, W. W., Seiford, L. M. ve Zhu, J., 2004. Handbook on data envelopment analysis. Kluwer Academic Publishers, Boston, pp.10-11.
3. Efficiency Measurement System (EMS). Available at: http://www.wiso.unidortmund.de/lsfg/or/scheel/ems/. (Erişim Tarihi: 5 January 2008).
4. Estache, A., Tovar, B., Trujillo, L., 2007. Are African electricity distribution companies efficient? Evidence from the southern african countries. Department of Economics Discussion Paper Series, No: 07/13.
5. Flegg, A.T., Allen, D. O., Field, K., Thurlow, T.W., 2003. Measuring the efficiency and productivity of British universities: an application of DEA and the Malmquist approach. University of the West England Economics Discussion Paper Series, No:03/04.
6. Grifell-Tatje, E., Lovell, C. A. K., 1999. A generalized Malmquist productivity index. Sociedad de Estadistica e Investigacion Operativa, vol 7, No. 1, 81-101.
7. Grosskopf, S., Moutray, C., 2001. Evaluating performance in Chicago public high schools in the wake of decentralization. Economics of Education Review, 20, 1-14.
8. Hua, P., 2005. How does education at all levels influence productivity growth? Evidence from the Chinese provinces. CERDI, Etudes et Documents, Ec 2005.15.

9. Johnes, J., 2006. Efficiency and productivity change in the English higher education sector from 1996/97 to 2002/03. Lancaster University Management School Working Paper, 017.
10. Mansor, S.A., Radam A., 2000. Productivity and efficiency performance of the Malaysian life insurance industry. Jurnal Ekonomi Malaysia, 34, 93-105.
11. Maragos, E. K., Despotis, D. K., 2004. Evaluating school performance over time in the frame of regional socio -economic specificities. Wseas Transactions On Mathematics Issue 3, Volume 3, ISSN 1109-2769, 664-671.
12. Milli Eğitim Bakanlığı, 2003. Available at: http://earged.meb.gov.tr/pisa/dil/tr/pisanedir.html. (Erişim Tarihi: 5 January 2008).
13. Organisation for Economic Co-operation and Development, 2005. PISA 2003 Technical Report. Paris: OECD.
14. Oral, M., Kettani O., Yolalan R., 1992. An emprical study on analyzing the productivity of bank branches. IIE Transactions, Vol. 24, No: 5, p.166-176.
15. Thanassoulis, E., 2001. Introduction to the theory and application of data envelopment analysis: A foundation text with integrated software. Kluwer Academic Publishers, Second Printing, Massachusetts, pp. 179-182.
16. Üte, E., 2002. Veri zarflama analizi tekniği ile sağlık sektörünün operasyonel etkinliğinin araştırılması. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü İşletme Anabilim Dalı, Adana (yayımlanmamış).
17. Worthington, A., Lee, B.I., 2005. Efficiency, technology and productivity change in Australian universities, 1988-2003. University of Wollongong School of Accounting & Finance Working Papers Series, 05/01.
18. Zheng, J., Hu, A., 2004. An empirical analysis of provincial productivity in China (1979-2001). Working Paper in Economics (SwoPEc) , No. 127, ISSN 1403-2465
19. Zhu, J., 2003. Quantitative models for performance evaluation and benchmarking. Kluwer Academic Publishers, Worcester Polytechnic Institue, Massachusetts, pp.278-279.